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Below results based on the criteria 'spatial theory'
Total number of records returned: 2
A Statistical Assessment of The Spatial Model of Ideology
The spatial model of ideology (Hinich and Munger, 1994) specifies a formal framework for linking positions of the electorate, the parties, and the candidates on a plethora of issues to positions on a few ideological dimensions- perhaps just one or two dimensions. While extant tests of this model have relied on cross-sectional survey data, this study utilizes a panel. The panel format allows a direct examination of the stability, and indeed the reality, of the parameters and the cognitive processes that are posited by the formal model. Given the available variables in the panel, I operationalize one model for party competition and another for presidential candidates. The results of both are supportive of the linkage model. The statistical methodology used in this study is no more complex than the model requires; it includes maximum likelihood factor analysis and a customized multi-dimensional scaling procedure.
Strange Bedfellows or the Usual Suspects? Spatial Models of Ideology and Interest Group Coalitions
Entering into coalitions has become a standard tactic for interest groups trying to maximize success while minimizing cost. The strategic conditions underlying decisions to form or join coalitions are beginning to be explored in the political science literature, yet very little is known about the process and criteria through which interest groups select coalition partners. In this paper, I explore the partner selection process by applying spatial theories of ideology and coalition formation to interest group participation on amicus curiae briefs. Previous work demonstrates that the lobbying efforts of groups can be used to generate a general measure of ideology for any group. These captured ideology scores are used in statistical models of interest group coalition partner selection on amicus curiae briefs from 1954-1985. This research demonstrates that the ideology scores captured for each group are powerful predictors of interest group coalition partner selection, even when controls for resources, group type, and other potential predictors are included.